科学数据资源

On your journey to become a model-driven business, understand how models can turn bad and get recommendations to prevent negative brand reputation, 经济损失, 以及对客户的影响.

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特色资源

Organizing Enterprise Data Science

Many leaders wrestle with how to organize data science teams for the greatest impact. We break down best practices for enterprise data science across discipline, 过程, and technology.

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特色资源

大规模管理数据科学

百汇游戏官网下载最受欢迎的资源之一, this guide shares lessons from the field on managing data science projects and portfolios.

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指南 & 报告

企业mlop指南

随着企业能力的发展，数据科学的整个生命周期将更快地实现这一安全而普遍的目标.

Data Science Manager Survey Report: Key Factors on the Journey to Become Model-Driven

调查结果来自250个数据科学领导者和从业人员的组织，各种规模和各种行业.

How to scale data science (when nobody else understands it

Domino与DataIQ合作，对数据和分析专业人员进行调查，以了解他们的数据科学方法.

Forrester Wave PAML 2020

See Why Forrester Named Domino a Leader in the Wave for the second time in a row.

451 Research Report: Accelerating Machine 学习 Model Velocity

Get recommendations to maximize the ROI of machine learning, optimize data science infrastructure, 降低风险, 增加模型速度.

451 Research Report: Assessing the field in the MLOps race

Learn more about the segments and core products that comprise the vibrant, 但有时令人困惑, MLOps 百老汇官网部门.

451 Research Report: Security is a Vital Linchpin for Enterprise Data Science

在选择企业数据科学平台时，了解为什么安全特性成为越来越多关键组件的头条.

IT领导者的十大问题

This document provides IT leaders with the top 10 questions to ask of data science platforms.

What 它的领导人 Need to Know 关于 Data Science

Your guide to understanding modern data science and why IT is critical to its success.

Succeeding with Data Science in 金融服务

Learn how organizations unleash innovation without sacrificing transparency or governance.

白皮书

Data Science Needs to Grow Up: The 2021 Domino Data Lab Maturity Index

根据一项新的调查, 对人的错误投资, 流程, and tools are causing failure to scale data science.

Pump Up Data Science 百老汇官网ivity with a Modern Workbench

当工作台不支持大型数据科学团队的工作时，生产力会受到影响.

The True Cost of Building a Data Science 平台 Whitepaper

了解企业数据科学所需的功能，以及构建自己的数据科学平台所需的工作量.

模型监控最佳实践

Learn about the importance of being vigilant for monitoring and mitigating data drift.

The Pros and Cons of Spark in a Modern Enterprise Analytics Stack

了解Spark在数据科学和机器学习工作流程方面的优势和劣势.

Kubernetes: The IT Standard for Data Science Workloads

了解为什么Kubernetes非常适合数据科学，并迅速成为云计算的平台基础设施层.

Navigating the 生命科学 Journey to a Modern Statistical Computing Environment

了解健康和生命科学组织数字化转型的里程碑和最佳实践.

它评估指南

See how the Domino platform addresses governance, 安全, 基础设施监控, 还有其他重要的标准.

Domino中的风险管理模型

在模型的生命周期中，发现一个将良好的治理与端到端文档相结合的框架.

Data Science Maturity Model Whitepaper

Identify capability gaps and direct future investment with this model.

Attention, CIOs: Do You Know Where Your 数据科学家 Are?

Learn how to wrangle data science tools and technologies, support your data scientists' compute needs in the cloud, 防止影子IT.

Model Management: A Framework to Build a Model-Driven Business

Learn how to leverage models for a competitive advantage and avoid the Model Myth.

云中的数据科学

See how to get the most out of moving data science to AWS.

三角裤

Domino企业MLOps平台

了解为什么超过20%的《百老汇官网》100强企业使用Domino平台来集中他们的数据科学并成为模型驱动的业务.

随需应变的分布式计算

了解Domino如何提供对最流行的分布式计算框架——Spark的自助访问, 雷, 和Dask.

模型的监控

为模型开发、部署到监控创建无缝体验，以确保生产模型的最高性能.

How to Evaluate a Data Science 平台

IT and Analytics Leaders: Thinking too narrowly about your data science platform can prove costly.

Best Practices for Managing Your Team in Domino

Learn how leading organizations use Domino to manage their teams.

英伟达 DGX-Ready Software Solution

Domino和英伟达共同使英伟达 GPU资源可以在英伟达认证的Domino企业数据科学平台上使用.

Answers to IT领导者的十大问题

本文为IT领导者提供了Domino如何解决数据科学平台的10大问题的答案.

Accelerate SAS Adoption with Domino

本文通过三个简单的步骤说明了如何将SAS用于Domino上的容器，以进行SAS研究和模型部署.

用于Domino上的容器的SAS

Accelerate SAS and save on CapEx — take it to the cloud.

多米诺和AWS技术简报

Develop and deliver models faster, 规模迅速, and reduce regulatory and operational risk in the cloud.

Data Science Innovation in Credit and Finance Analytics

Domino on AWS provides an efficient, scalable, and secure data science platform.

工具

数据科学管理套件

Resource bundle for current and aspiring data science leaders.

Data Science Hiring and Onboarding

这个招聘和入职计划模板涵盖了一些关键问题，可以帮助您为团队寻找和培训新的数据科学家.

飞行前的项目清单

这个飞行前的项目清单可以让数据科学家和数据科学领导者通过一套理想的前期行动.

顶级数据科学文章

Our most popular articles for data scientists. Learn techniques from insights, tips, and tutorials.

视频 & 在线研讨会

How Topdanmark Scales Enterprise MLOps

Hear how one of Denmark’s largest insurers is infusing models throughout its operations, and discuss what it takes to become model-driven.

Breaking Down Silos Across Simulation, Analytics, and AI to Scale Innovation

向塔塔咨询服务公司(Tata Consultancy Services, TCS)学习构建异构平台的最佳实践，以统一分析和人工智能工作负载.

Beyond Spark: Dask and 雷 as Multi-node Accelerated Compute Frameworks

Apache Spark has been the incumbent distributed compute framework, but has Spark been eclipsed by new frameworks?

Unleash Data Science for the Model-Driven Business you Expect

通过专家小组了解为什么数据科学计划失败以及企业MLOps的重要性.

Forrester TEI Webinar: Driving 542% ROI with the Domino企业MLOps平台

参加Forrester 咨询的这一环节，了解Domino Enterprise MLOps平台是如何支持模型驱动的业务的.

Running complex workloads using on-demand GPU-accelerated Spark/RAPIDS clusters

了解Domino如何使数据科学家能够轻松地提供Spark/RAPIDS集群，并通过集成环境访问它.

约翰逊如何 & 约翰逊 is embedding data science across their business

约翰逊 & 约翰逊的CIO Jim Swanson和Domino的首席执行官Nick Elprin讨论了如何构建MLOps策略来实现模型速度.

How AES went from zero to 50 deployed models in two years

In <2 years, AES建立了一个全球团队, 它的底层基础设施, and they’ve built and deployed 50+ models to date.

Domino Data Lab and Amazon SageMaker: Model management and monitoring for the Enterprise.

请加入AWS和Domino数据实验室的数据科学专家讨论模型监控的“单层玻璃”的重要性.

在数字时代取得成功——数据科学领导者如何在其组织的现代化进程中发挥关键作用?

Watch this session to hear industry-leading CDAOs discuss all about digital transformation.

View the Keynote Address by Daniel Kahneman: The Psychology of Intuitive Judgment & 选择

从博士. Kahneman on how his research applies to today’s analytical professionals.

Don't Miss the Boat, CIOs — Lead Your Team to AI Excellence

Executives share first-hand experiences about the effects on people, 过程, and technology when centralizing data science.

Accelerating Data Science: Unlock Model Velocity

看看为什么模型速度是一种新的方法来框架和基准的投资回报率的数据科学团队的工作.

Don't Miss the Boat, CIOs ― Lead Your Team to AI Excellence

CIOs have a unique opportunity to lead the transformation in data science. Here’s what you need to know to get started today.

瑞银的现代数据科学堆栈

How their risk modeling platform on Domino blends SAS & open source analytics software for a fast path to the cloud.

Unlock Enterprise Data Science and MLOps at Scale with Domino

请参加这个专为百汇游戏官网下载举办的会议，了解Domino如何帮助企业大规模地交付数据科学.

SCOR's Creation of Data Science Center of Excellence to Enhance Model Deployment

了解世界领先的再保险公司SCOR如何通过Domino Enterprise MLOps平台大规模地提供数据科学.

A Data Science Playbook for Explainable AI - Navigating Predictive and Interpretable Models

Model ethics, interpretability, and trust are seminal issues. Understand the modern approaches for interpreting black box models.

Reaching Across the Aisle: Data Science & IT打造更好的企业

加入Forrester分析师Dr. kell Carlsson和IT和数据科学的领导者们一起发现最佳实践，从而开启数据科学的创新.

How to Simply Run Complex AI Training & Domino的推理工作负载 & 英伟达

在本次网络研讨会中, 百汇游戏官网下载解决了每个数据科学团队在训练和操作复杂人工智能模型时面临的关键挑战.

Seamless Virtual Collaboration Across 生命科学

今天, 许多组织都在寻找组织数据科学人才的最佳方式.

Fireside Chat: Building Your Best Data Science Team

What’s the most effective organizational structure for modern data science teams? Learn best practices from two long-time team leaders.

詹森R如何&D Accelerated Model Training on Multi-GPU Machines for Faster Cancer Cell Identification

了解Janssen如何在多gpu机器上加速模型训练，通过图像分析来诊断和表征癌细胞.

How Lockheed Martin is Pushing the Boundaries of Rocket Science with Data Science

See how Domino and 英伟达 help them bring development, 安全, and operations best practices to machine learning.

数据科学领袖hip Exchange: Best Practices for Driving Outcomes

Understand why data science leaders struggle to organize, implement and communicate effective data science initiatives.

Red Hat: A Strong Data Science 社区 in a Decentralized Org

学习打破竖井的特定技术，并在不同的组织中建立强大的数据科学社区.

Explore the Future of Enterprise Data Science

Experience new capabilities in Domino 4.通过现场演示和讨论.

Increasing Model Efficiency: 风险管理模型

发现MRM解决方案中缺失的部分:提高模型开发效率的多语言可再现性引擎.

Solving Expert Problems With NLP Algorithms In 保险

Topdanmark’s Head of Machine 学习 discusses his team’s journey into machine learning, and how they build and deploy models.

戴尔是如何 & Domino Are Helping IT Govern the AI/ML Ecosystem

Learn how Dell and Domino created a refreshingly simple, building-block-based approach to get data science teams up and running faster.

Generative Adversarial Networks (GANs): A Distilled Hands-On Tutorial

了解GAN框架, how to implement a basic GAN model, 如何生成训练样本, 和更多的.

规模监测模型

Join this webinar to learn how Domino can help you monitor your models at scale.

对预测的准确性

See how to build a pipeline for automating ML workflows, including how to select and tune hyperparameters.

机器学习生命体征

Donald Miner details the tracking of ML models in production to ensure model reliability, 一致性, 以及未来的表现.

Turbo-Charging Data Science with AutoML

Dive into popular open-source and proprietary AutoML tools such as auto-sklearn, TPOT, MLBox, AutoKeras, H2O无人驾驶AI.

Best Practices for Getting Data Science Web Apps in 百老汇官网ion

In this webinar we’ll review the pros and cons of the top data science web app frameworks (Shiny, 破折号, 瓶, 等.)

A Data Science Playbook for Explainable ML/AI

This technical talk discusses traditional and modern approaches for interpreting black box models.

Providing Unprecedented Transparency into the 健康 of Data Science Teams

Learn how Domino allows data science managers to define their own data science project life cycle, and easily track and manage projects.

数据驱动,驱动

In this webinar, Forrester Research and Domino will demystify the model-driven business.

数据科学领袖峰会

Relive two days of practical sessions, 发人深省的讨论, and forward-looking solutions from today’s data science leaders.

Webinar: Accelerating the Impact of Data Science Teams

了解Domino 3.4 accelerates the impact of data science teams with Datasets, Experiment Manager, and Activity Feed.

解决ModelOps挑战

The impact of data science on business and society has never been greater. But why are few organizations getting the value they expect?

情景应用程序的演示

Watch how SAS, Domino Data Lab, and AWS have teamed up to deliver 用于Domino上的容器的SAS.

大规模管理数据科学

在本次网络研讨会中，百汇游戏官网下载将分享经验，以及如何看待数据科学中的市场方法挑战.

GPU计算的数据科学

Ways to incorporate GPU computing for computationally intensive tasks.

在Domino应用程序

Survey the landscape of interactive visualization (Shiny, 破折号, 等) tools and learn best practices for publishing apps within Domino.

Unleashing Exceptional Performance Virtual Event with Atul Gawande & Najat汗

Lessons on driving continuous improvement when it matters most.